Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model

Authors:
M. Hamouz;J. Kittler;J.-K. Kamarainen;P. Paalanen;H. Kälviäinen
Affiliations:
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Laboratory of Information Processing, Department of Information Technology, Lappeenranta Univ. of Technology, Finland;Laboratory of Information Processing, Department of Information Technology, Lappeenranta Univ. of Technology, Finland;Laboratory of Information Processing, Department of Information Technology, Lappeenranta Univ. of Technology, Finland
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

We present an affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model. We measure the performance of the method on the realistic BioID and also XM2VTS databases applying a stringent localization error criterion. Compared to our original method the results have improved by a factor of 2 and are considerably better on a challenging database than those of a baseline method.